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2022 Asset Liability Management Off-cycle Internship (London)

Morgan Stanley
London, Vereinigtes Königreich
Gepostet vor 33 Minuten Permanent Competitive
2022 Asset Liability Management Off-cycle Internship (London)
Placement/Duration:
The Morgan Stanley Asset Liability Management (ALM) Off-Cycle Internship Program is based in London, forms part of a quantitative group within the Fixed Income Division (FID), runs for 6 months and is aimed at students who are required to complete a long-term internship as part of their studies or have already graduated. Please note that the successful candidate will need to be available to start ASAP for a period of six months.
We engage with a broad range of clients - including insurance companies, pensions, banks and corporates - on the impact of risk on a company's income statement, balance sheet, and capital; structuring optimal benchmarks for asset allocation and liability management; assessing the impact of regulatory and accounting changes on asset and capital allocation and pricing decisions, etc.
The team is at the centre of Morgan Stanley's efforts to offer complex customised analysis to our premier clients and to tailor value-added solutions which support the achievement of the client's business objectives. In addition to being a client-facing group, the ALM team works closely with many coverage and product teams within other areas of the firm including Global Capital Markets (GCM), Fixed Income, Equity and Investment Banking.
The team has developed a suite of models which are applied and customised to each client in a project framework. As such the models embody the collective insights and experience accumulated by the team, and incorporate the current regulatory, accounting and corporate finance frameworks appropriate to the task.
Responsibilities:
The role touches all parts of our business, including:
• Statistical analysis and modelling of economic and capital market time series
• Writing computer code (VBA, MatLab, Delphi XE5) for client projects
• Preparing client presentations (Powerpoint & Excel)
• Analysis and interpretation of clients' risks from stochastic simulation output
• Deriving and coding fast numerical methods for efficient modelling of asset cashflow, accounting and mark to market, in particular referencing bond mathematics, fixed income, equity and credit derivatives
• Working with the relevant product groups internally to develop innovative solutions based upon analysis results and conclusions
• Participating in client meetings and conference calls
Qualifications/Skills/Reqs
• You are able to start an internship as soon as possible for a period of 6 months
• 2:1 minimum masters or PhD degree (Maths or Physics preferable)
• Strong mathematical background in an academic setting
• You have a keen interest in the financial markets and the drive and desire to work in a fast-paced, team orientated environment
• Pragmatic approach to ensuring delivery on a timely basis
• You will possess practical problem solving skills with a great attention to detail
• You are able to communicate effectively in both written and verbal English
Please note that you will be required to do a coding assessment as part of your application.

Job ID  14286-2022
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